This paper presents a new gauge-based analysis of daily precipitation over East Asia (5°–60°N, 65°–155°E) for the period from 1978 to 2003. The analysis is constructed using over 2200 station observations from various sources, including the Global Telecommunication System (GTS), China Meteorological Administration (CMA), and Yellow River Conservation Commission (YRCC). The method involves computing daily climatologies by interpolating station data, adjusting these climatologies to correct orographic effects using the Parameter-Elevation Regressions on Independent Slopes Model (PRISM), and creating gridded fields of the ratio of daily precipitation to the daily climatology. Cross-validation tests indicate high quantitative quality with negligible bias and a correlation coefficient of 0.6 for comparisons between withdrawn station data and the analysis at a 0.05° latitude–longitude grid box. The analysis is applied to verify the performance of five satellite-based precipitation estimations, revealing regional and seasonal dependencies with better performance in relatively wet regions. Further improvements are ongoing to increase gauge network density and refine the algorithm to better handle orographic effects.This paper presents a new gauge-based analysis of daily precipitation over East Asia (5°–60°N, 65°–155°E) for the period from 1978 to 2003. The analysis is constructed using over 2200 station observations from various sources, including the Global Telecommunication System (GTS), China Meteorological Administration (CMA), and Yellow River Conservation Commission (YRCC). The method involves computing daily climatologies by interpolating station data, adjusting these climatologies to correct orographic effects using the Parameter-Elevation Regressions on Independent Slopes Model (PRISM), and creating gridded fields of the ratio of daily precipitation to the daily climatology. Cross-validation tests indicate high quantitative quality with negligible bias and a correlation coefficient of 0.6 for comparisons between withdrawn station data and the analysis at a 0.05° latitude–longitude grid box. The analysis is applied to verify the performance of five satellite-based precipitation estimations, revealing regional and seasonal dependencies with better performance in relatively wet regions. Further improvements are ongoing to increase gauge network density and refine the algorithm to better handle orographic effects.